Software Engineer- Sr Consultant Level- OpenSearch

Visas Technology Organization is a community of problem solvers and innovators reshaping the future of commerce.   We operate the worlds most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants 15k Financial Institutions and billions of everyday people.   While working with us youll get to work on complex distributed systems and solve massive scale problems centered on new payment flows business and data solutions cyber security and B2C platforms.     

The Opportunity: 

We are looking for Versatile curious and energetic Software Engineers who embrace solving complex challenges on a global scale.  As a Visa Software Engineer you will be an integral part of a multifunctional development team inventing designing building and testing software products that reach a truly global customer base. While building components of powerful payment technology you will get to see your efforts shaping the digital future of monetary transactions. 

The Work itself: 

• Design code and systems that touch 40% of the world population while influencing Visas internal standards for scalability security and reusability 

• Collaborate multifunctionally to create design artifacts and develop bestinclass software solutions for multiple Visa technical offerings 

• Actively contribute to product quality improvements valuable service technology and new business flows in diverse agile squads 

• Opportunities to make a difference on a global or local scale through mentorship and continued learning opportunities 

Essential Functions:

• Design build and manage data ingestion pipelines using multiple technology technical stack including OpenSearch Kafka and Druid using opensource packages.

• Design and Build Application in Dockers and Kubernetes

• Develop and Build Python Based application for Automation and Task management.

• Ensure data integrity quality and security throughout the data lifecycle endtoend in opensource platform.

• Build multiple data pipelines to ingest unstructured data in real time for advance data analytics.

• Collaborate with crossfunctional teams to understand data requirements and deliver solutions.

**We do not expect that any single candidate would fulfill all of these characteristics. For instance we have exciting team members who are really focused on building scalable systems but didnt work with payments technology or web applications before joining Visa.

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 23 set days a week (determined by leadership/site) with a general guidepost of being in the office 50% or more of the time based on business needs.

Qualifications :

Basic Qualifications
8 years of relevant work experience with a Bachelors Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters MBA JD MD) or 2 years of work experience with a PhD OR 11 years of relevant work experience.

Preferred Qualifications
9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters MBA JD MD) or 3 or more years of experience with a PhD
Strong problemsolving skills with attention to detail.
Excellent Communication and Collaboration skills.
Experience with Cloudbased Data Engineering solutions is preferred.
Experience with Big Data Technologies such as Hadoop Kafka and Spark are preferred
Knowledge in Generative AI or Generative AI tools is preferred.

The Skills You Bring:
Energy and Experience: A growth mindset that is curious and passionate about technologies and enjoys challenging projects on a global scale
Challenge the Status Quo: Comfort in pushing the boundaries hacking beyond traditional solutions

Technology Expertise:
2 years of experience in OpenSearch/Elastic Search(required)
7 years of experience in Apache Kafka Apache Spark Apache Hadoop(required).
5 years of experience in Docker and Kubernetes (highly preferred).
8 years of experience in Python & JAVA/J2EE Programming and Shell scripting (required).
5 years of experience in Cloud Applications (highly preferred).

Builder: Experience building and deploying modern services and web applications with quality and scalability
Learner: Constant drive to learn new technologies such as Angular React Kubernetes Docker etc.
Partnership: Experience collaborating with Product Test Devops and Agile/Scrum teams

Additional Information :

Work Hours: Varies upon the needs of the department.

Travel Requirements: This position requires travel 510% of the time.

Mental/Physical Requirements: This position will be performed in an office setting.  The position will require the incumbent to sit and stand at a desk communicate in person and by telephone frequently operate standard office equipment such as telephones and computers.

Visa is an EEO Employer.  Qualified applicants will receive consideration for employment without regard to race color religion sex national origin sexual orientation gender identity disability or protected veteran status.  Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law including the requirements of Article 49 of the San Francisco Police Code.

U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 143200.00 to 207800.00 USD per year which may include potential sales incentive payments (if applicable). Salary may vary depending on jobrelated factors which may include knowledge skills experience and location. In addition this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical Dental Vision 401 (k) FSA/HSA Life Insurance Paid Time Off and Wellness Program.

Remote Work :

No

Employment Type :

Fulltime